POSTDOCTORAL RESEARCHERS
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My research interests focus on the application of different optimization techniques to problems in smart grids, specifically for the demand side for smart buildings. In this context I take the user perspective to achieve a trade-off between demand satisfaction and cost reduction while ensuring the grid requirements through demand response programs.
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My current research is on optimizing strategies for large-scale deployment of electric vehicle (EV) charging stations. In particular, I am interested in understanding the dynamics between deployment decisions and the willingness of people to buy EVs, and how these can be explored to increase EV adoption. This project motivated a partnership with Hydro-Québec who is using our decision support system to establish a ten-year plan for the deployment of thousands of new charging stations.
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My research interests focus on the development of decision-support methodologies for complex industrial systems design and operation under uncertainties and risks. I was working on projects in the areas of Smart grids, Eco-Industrial Parks and waste-to-energy systems planning. My current project aims at integration of small-scale prosumers in the energy management process for provision of ancillary services in the grid while mitigating unsuitable emerging effects.
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We consider the maximum k-cut problem that consists in partitioning the vertex set of an undirected graph into k subsets such that the sum of weights of edges joining vertices in different subsets is maximized. Initially, we focus on strengthening conic relaxations by combining SDP with LP cutting planes.
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My research focuses on predictive and optimization modeling to support renewable energy integration into the power system. Current projects include the integration of machine learning with stochastic optimization to provide better strategies for transmission expansion planning, with a particular focus on the case study of Hydro-Québec.
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